This research introduces an innovative waste management system leveraging deep learning algorithms in conjunction with Raspberry Pi 3 and intelligent bins, enhanced by a bin-fill sensor. The system offers a comprehensive solution for efficient waste sorting and bin management. Utilizing cameras connected to the Raspberry Pi, the deep learning model accurately identifies various types of garbage in real-time. Upon classification, the corresponding intelligent bin's lid is automatically opened through actuators controlled by the Raspberry Pi. Additionally, a bin-fill sensor integrated into each bin detects the level of waste accumulation, providing crucial data for optimizing waste collection schedules. This multi-faceted approach aims to revolutionize waste management processes, facilitating automated sorting, and timely waste collection, thereby contributing to sustainable environmental practices. The project underscores the synergy between deep learning, edge computing, and sensor technology in developing intelligent waste management solutions.